The rise of knowledge work and contemporaneous information explosion demand the ability to quickly sift through rapidly evolving information. For example, scientific researchers spend a tremendous amount of effort staying up to date with literature in their field.
The process typically involves researchers foraging for a set of potentially relevant work, skimming or reading the selected papers, and organizing the relevant aspects contextually.
AI has been used to assist several aspects of this process: scholarly search engines, such as Google Scholar and Semantic Scholar [1]}, [2]}, paper recommendation systems [3]}, [4]}, and in-depth reading support tools [5]}, but information overload remains a huge challenge for researchers.
